• DocumentCode
    2179721
  • Title

    Representing UML snowflake diagram from integrating XML data using XML schema

  • Author

    Li, Yu ; An, Aijun

  • Author_Institution
    Dept. of Comput. Sci. & Eng., York Univ., Toronto, Ont., Canada
  • fYear
    2005
  • fDate
    38451
  • Firstpage
    103
  • Lastpage
    111
  • Abstract
    We present a UML conceptual-level integration framework for supporting OLAP operations on diverse XML data sources. Our integration framework takes advantage of the constructs and relationships existing within XML schemas. Two processes are involved in our integration framework. The first one is to convert XML schemas into UML class diagrams. The second is to build a multidimensional model from the UML class diagrams. This paper focuses on the issues in the second process. We describe how to represent a multidimensional model using a UML snowflake diagram and how to represent the UML snow/lake diagram using XML schemas. Our advanced XML schema-based representation of a multidimensional model is used as metadata in our prototype system for processing OLAP queries. It elegantly holds the information within a UML snowflake diagram such as the retrieval path through which we can obtain the participating XML data sources for OLAP operations. To the best of our knowledge, we are the first people to apply the advantages of XML Schemas during integrating XML data sources for virtual OLAP and to propose an XML schema-based method for representing a UML snowflake diagram that integrates heterogeneous XML data sources.
  • Keywords
    Internet; Unified Modeling Language; XML; data mining; data warehouses; distributed databases; meta data; OLAP query processing; UML class diagrams; UML conceptual-level integration; UML snowflake diagram; XML schemas; heterogeneous XML data source; metadata; prototype system; Computer science; Data engineering; Data warehouses; Information retrieval; Internet; Multidimensional systems; Prototypes; Unified modeling language; Warehousing; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Issues in E-Commerce, 2005. Proceedings. International Workshop on
  • Print_ISBN
    0-7695-2401-X
  • Type

    conf

  • DOI
    10.1109/DEEC.2005.21
  • Filename
    1517704